Update app.py

app.py

@@ -13,7 +13,7 @@ import json
 API_URL = "https://api-inference.huggingface.co/models/black-forest-labs/FLUX.1-dev"
 API_TOKEN = os.getenv("HF_READ_TOKEN")
 headers = {"Authorization": f"Bearer {API_TOKEN}"}
-timeout = 100
+timeout = 90000000
 
 # Function to query the API and return the generated image
 def query(prompt, is_negative=False, steps=30, cfg_scale=7, sampler="DPM++ 2M Karras", seed=-1, strength=0.7, width=1024, height=1024):
@@ -25,13 +25,7 @@ def query(prompt, is_negative=False, steps=30, cfg_scale=7, sampler="DPM++ 2M Ka
     API_TOKEN = random.choice([os.getenv("HF_READ_TOKEN")])
     headers = {"Authorization": f"Bearer {API_TOKEN}"}
     
-    # Translate the prompt from Russian to English if necessary
-    prompt = GoogleTranslator(source='id', target='en').translate(prompt)
-    print(f'\033[1mGeneration {key} translation:\033[0m {prompt}')
 
-    # Add some extra flair to the prompt
-    prompt = f"{prompt} | ultra detail, ultra elaboration, ultra quality, perfect."
-    print(f'\033[1mGeneration {key}:\033[0m {prompt}')
     
     # Prepare the payload for the API call, including width and height
     payload = {